Title: Software Engineer
Location: Charlotte, NC
Duration: 12 months
Work Engagement: W2
Benefits on offer for this contract position : Health Insurance, Life insurance, 401K and Voluntary Benefits
Overview This role supports the Model Risk Management platform used to run statistical risk models and large-scale data workloads. The engineer will help maintain and enhance a cloud-native platform used by statisticians and data scientists working with millions of customer accounts. The platform runs on Google Cloud Platform and supports distributed data processing using Apache Spark.
Experience with large-scale datasets, GCP services, Spark, and containerized microservices is essential. Experience in financial services is preferred but not required.
Key Responsibilities Platform Engineering
Deploy, configure, and maintain OpenShift clusters or GCP projects for Spark workloads
Support platform capabilities for statistical model execution
Distributed Data Processing
Design and implement large-scale data processing workflows using Apache Spark
Tune Spark jobs using Kubernetes orchestration and auto-scaling
Application & Tooling
Build Python/Django services and microservices supporting platform users
Configure tooling and internal applications for data processing and model execution
Automation & CI/CD
Build and maintain CI/CD pipelines using GitHub Actions, Sonar, Harness, Helm
Monitoring & Troubleshooting
Monitor Spark jobs and cluster health using Prometheus, Grafana, and GCP tools
Debug distributed systems and optimize resource utilization
Security & Compliance
Implement RBAC and encryption for data in transit and at rest
Collaboration
Work closely with cross-functional teams to define requirements and support deployments
Qualifications
Education Bachelor’s degree in Computer Science, Engineering, or related field
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